Tanzania vs East Timor: Landline phone subscriptions, per unit of GDP
Tanzania
0 units per US$ of GDP
in 2024
East Timor
0 units per US$ of GDP
in 2024
Tanzania rank
185th
East Timor rank
186th
Landline phone subscriptions, per unit of GDP over time
- Tanzania
- East Timor
How they compare
Tanzania currently reports 0 units per US$ of GDP against 0 units per US$ of GDP in East Timor, a difference of 0 units per US$ of GDP.
That makes Tanzania's figure about 1.1 times East Timor's.
Across all 22 years both countries report, Tanzania has been ahead every year.
Tanzania ranks 185th and East Timor ranks 186th of 209 countries.
Tanzania has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Tanzania | East Timor | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 0 units per US$ of GDP | 0 units per US$ of GDP | 0 units per US$ of GDP | Tanzania |
| 2010s | 0 units per US$ of GDP | 0 units per US$ of GDP | 0 units per US$ of GDP | Tanzania |
| 2020s | 0 units per US$ of GDP | 0 units per US$ of GDP | 0 units per US$ of GDP | Tanzania |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher landline phone subscriptions, per unit of gdp, Tanzania or East Timor?
- Tanzania, at 0 units per US$ of GDP against 0 units per US$ of GDP in East Timor as of 2024.
- What is the difference in landline phone subscriptions, per unit of gdp between Tanzania and East Timor?
- 0 units per US$ of GDP, with Tanzania ahead.
- How many years of comparable data are there for Tanzania and East Timor?
- 22 years are reported by both, from 2003 to 2024.
- How do Tanzania and East Timor rank globally for landline phone subscriptions, per unit of gdp?
- Tanzania ranks 185th and East Timor ranks 186th of 209 countries.
- Where does this data come from?
- Statizoid (derived), published as Landline phone subscriptions, per unit of GDP. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Landline phone subscriptions divided by GDP (current US$), matched on country and year. Neither publisher issues this ratio as a series; it is computed here from both.